# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# --------------------------------------------------------
# Copyright (c) OpenMMLab. All rights reserved.
import torch

from mmseg.models import MLANeck


def test_mla():
    in_channels = [4, 4, 4, 4]
    mla = MLANeck(in_channels, 32)

    inputs = [torch.randn(1, c, 12, 12) for i, c in enumerate(in_channels)]
    outputs = mla(inputs)
    assert outputs[0].shape == torch.Size([1, 32, 12, 12])
    assert outputs[1].shape == torch.Size([1, 32, 12, 12])
    assert outputs[2].shape == torch.Size([1, 32, 12, 12])
    assert outputs[3].shape == torch.Size([1, 32, 12, 12])
